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Ars Technica · AI· Lily Hay Newman, wired.com·· 3 days agoSame event75

Google DeepMind just mathematically verified key parts of Signal

Google DeepMind just mathematically verified key parts of Signal

Brief overview

Google DeepMind researchers used AI agents to formally verify multiple key cryptographic guarantees of the Signal protocol, completing the project as a proof of concept within four weeks. This work provides independent verification for encryption used by platforms such as Signal, Google Messages, and WhatsApp, while also demonstrating the formal verification capabilities of the new AI framework AlphaProof Code.

Same story — featured version shown《Google DeepMind releases AlphaProof Code, a four-week verification of the Signal encryption core》

Same story2 other outlets also reported this

  1. Google DeepMind··First

    AlphaProof Code: Google DeepMind open-sources multi-LLM intelligent agent framework for complex software deep formal verification

  2. Ars Technica · AI··+26 h 6 min·Reading now

    Google DeepMind uses AI to mathematically verify key parts of the Signal protocol

    Adds:independent verification for Signal application, Google Messages, and WhatsApp

  3. The Decoder··+30 h 16 min

    Google DeepMind releases AlphaProof Code, a four-week verification of the Signal encryption core

    Adds:mathematical proof that software meets security specifications

In order of publication · later reports are added as they appear · Compared by AI from each outlet’s title and summary

Article

Google DeepMind researchers used agentic AI to mathematically prove, or “formally verify,” a number of the Signal protocol’s key cryptographic guarantees—a landmark development for the widely used cryptography and AI itself.

Conducted as a sort of proof-of-concept project in just four weeks, the work is significant in two ways. It serves as further independent validation of the cryptography that protects massive quantities of the world’s communications on platforms like the Signal app, Google Messages, and WhatsApp. And it demonstrates Google DeepMind’s formal verification capabilities using a new AI framework called AlphaProof Code.

More broadly, AI-aided formal verification is having a moment, but it is unclear how practical it will be for widespread use and how effective it can be at securing large amounts of code. Proponents of formal verification have long referred to it as a sort of holy grail in software security, because it uses math to check and validate that software is functioning as intended—in other words, that it doesn’t have critical vulnerabilities.

Before the AI era, it was incredibly time-consuming for people to describe the characteristics of software they wanted to prove, turn these summaries into formulas, and then develop the proof. Agentic AI can significantly cut down the time of the latter project, enabling analyses like DeepMind’s Signal evaluation. But even this analysis was limited in scope—it did not, for example, formally verify the entire Signal mobile app—and DeepMind researchers emphasize that their findings are just one milestone in a larger process.

“We are very excited by this result, but there is a long distance to go before we are able to scale this to all the software of the world, and we want to do that,” Swarat Chaudhuri, a DeepMind research scientist, tells WIRED.

The DeepMind analysis did not find any new vulnerabilities in the portions of the Signal protocol it looked at, but when the researchers used AlphaProof Code on older versions of Signal that contain known and long-fixed vulnerabilities, it correctly identified them and showed that the protocol could not be formally verified. The researchers are releasing the specification and proof they developed for the Signal protocol analysis to aid other formal verification work.

Source: Ars Technica · AI · arstechnica.com